Pandas Profiling Report

Dataset statistics

Number of variables	20
Number of observations	338592
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	51.7 MiB
Average record size in memory	160.0 B

Variable types

Numeric	15
Categorical	5

Warnings

`Fukusyoku` has a high cardinality: 2420 distinct values	High cardinality
`Wakuban` is highly correlated with `Umaban`	High correlation
`Umaban` is highly correlated with `Wakuban`	High correlation
`FutanBefore` is highly skewed (γ1 = 35.36091292)	Skewed
`UmaKigoCD` has 306643 (90.6%) zeros	Zeros
`FutanBefore` has 338321 (99.9%) zeros	Zeros

Reproduction

Analysis started	2021-04-07 12:46:34.321370
Analysis finished	2021-04-07 12:48:19.798108
Duration	1 minute and 45.48 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

JyoCD
Real number (ℝ_≥0)

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.034351077
Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	6
median	7
Q3	9
95-th percentile	10
Maximum	10
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.957488196
Coefficient of variation (CV)	0.2782755899
Kurtosis	-0.6791228629
Mean	7.034351077
Median Absolute Deviation (MAD)	2
Skewness	-0.2821718823
Sum	2381775
Variance	3.831760037
Monotocity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	62582	18.5%
6	61963	18.3%
9	60683	17.9%
5	56260	16.6%
10	34994	10.3%
7	33726	10.0%
4	15333	4.5%
3	9541	2.8%
2	2407	0.7%
1	1103	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1103	0.3%
2	2407	0.7%
3	9541	2.8%
4	15333	4.5%
5	56260	16.6%

Value	Count	Frequency (%)
10	34994	10.3%
9	60683	17.9%
8	62582	18.5%
7	33726	10.0%
6	61963	18.3%

Kaiji
Real number (ℝ_≥0)

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.837804792
Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	6
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.380581853
Coefficient of variation (CV)	0.4864964135
Kurtosis	-1.031254126
Mean	2.837804792
Median Absolute Deviation (MAD)	1
Skewness	0.2717196575
Sum	960858
Variance	1.906006254
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2	86421	25.5%
3	71814	21.2%
1	68827	20.3%
4	57965	17.1%
5	49503	14.6%
6	4062	1.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	68827	20.3%
2	86421	25.5%
3	71814	21.2%
4	57965	17.1%
5	49503	14.6%

Value	Count	Frequency (%)
6	4062	1.2%
5	49503	14.6%
4	57965	17.1%
3	71814	21.2%
2	86421	25.5%

Nichiji
Real number (ℝ_≥0)

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.837054626
Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	5
Q3	7
95-th percentile	9
Maximum	12
Range	11
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.648915752
Coefficient of variation (CV)	0.5476299023
Kurtosis	-0.5391884375
Mean	4.837054626
Median Absolute Deviation (MAD)	2
Skewness	0.3627786178
Sum	1637788
Variance	7.016754662
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
4	41100	12.1%
3	40690	12.0%
6	40531	12.0%
5	40228	11.9%
2	40172	11.9%
1	39609	11.7%
7	35734	10.6%
8	34547	10.2%
9	12504	3.7%
10	4688	1.4%
Other values (2)	8789	2.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	39609	11.7%
2	40172	11.9%
3	40690	12.0%
4	41100	12.1%
5	40228	11.9%

Value	Count	Frequency (%)
12	4430	1.3%
11	4359	1.3%
10	4688	1.4%
9	12504	3.7%
8	34547	10.2%

RaceNum
Real number (ℝ_≥0)

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.460512948
Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	6
Q3	10
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	3.492256145
Coefficient of variation (CV)	0.5405540046
Kurtosis	-1.238932552
Mean	6.460512948
Median Absolute Deviation (MAD)	3
Skewness	0.03188794657
Sum	2187478
Variance	12.19585299
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
12	29742	8.8%
3	29682	8.8%
11	29422	8.7%
2	29073	8.6%
1	29042	8.6%
4	28790	8.5%
7	28069	8.3%
8	27900	8.2%
6	27684	8.2%
5	27483	8.1%
Other values (2)	51705	15.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	29042	8.6%
2	29073	8.6%
3	29682	8.8%
4	28790	8.5%
5	27483	8.1%

Value	Count	Frequency (%)
12	29742	8.8%
11	29422	8.7%
10	26991	8.0%
9	24714	7.3%
8	27900	8.2%

Wakuban
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4.736183962
Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	5
Q3	7
95-th percentile	8
Maximum	8
Range	7
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.276567901
Coefficient of variation (CV)	0.4806755649
Kurtosis	-1.212228567
Mean	4.736183962
Median Absolute Deviation (MAD)	2
Skewness	-0.1248299126
Sum	1603634
Variance	5.18276141
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
8	48743	14.4%
7	47647	14.1%
6	44617	13.2%
5	43143	12.7%
4	41576	12.3%
3	40048	11.8%
2	37478	11.1%
1	35340	10.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	35340	10.4%
2	37478	11.1%
3	40048	11.8%
4	41576	12.3%
5	43143	12.7%

Value	Count	Frequency (%)
8	48743	14.4%
7	47647	14.1%
6	44617	13.2%
5	43143	12.7%
4	41576	12.3%

Umaban
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	18
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.937290308
Minimum	1
Maximum	18
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	8
Q3	12
95-th percentile	15
Maximum	18
Range	17
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	4.489699079
Coefficient of variation (CV)	0.5656463232
Kurtosis	-1.020836087
Mean	7.937290308
Median Absolute Deviation (MAD)	4
Skewness	0.1861529636
Sum	2687503
Variance	20.15739782
Monotocity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
5	23545	7.0%
6	23534	7.0%
7	23520	6.9%
3	23503	6.9%
2	23501	6.9%
1	23483	6.9%
4	23407	6.9%
8	23247	6.9%
9	22814	6.7%
10	22136	6.5%
Other values (8)	105902	31.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	23483	6.9%
2	23501	6.9%
3	23503	6.9%
4	23407	6.9%
5	23545	7.0%

Value	Count	Frequency (%)
18	2208	0.7%
17	2596	0.8%
16	11830	3.5%
15	14140	4.2%
14	16435	4.9%

KettoNum
Real number (ℝ_≥0)

Distinct	54321
Distinct (%)	16.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2011682419
Minimum	2000100030
Maximum	2018110145
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	2000100030
5-th percentile	2006102736
Q1	2009101517
median	2012101207
Q3	2014110115
95-th percentile	2017104470
Maximum	2018110145
Range	18010115
Interquartile range (IQR)	5008598

Descriptive statistics

Standard deviation	3560527.423
Coefficient of variation (CV)	0.001769925208
Kurtosis	-0.892800638
Mean	2011682419
Median Absolute Deviation (MAD)	2999216
Skewness	-0.1315503949
Sum	6.811395735 × 10¹⁴
Variance	1.267735553 × 10¹³
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2010200007	71	< 0.1%
2011100625	70	< 0.1%
2010101161	68	< 0.1%
2011101542	61	< 0.1%
2010101326	59	< 0.1%
2010102402	57	< 0.1%
2010105167	54	< 0.1%
2007105629	54	< 0.1%
2014106529	54	< 0.1%
2013106474	53	< 0.1%
Other values (54311)	337991	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2000100030	4	< 0.1%
2000100231	6	< 0.1%
2000100785	1	< 0.1%
2000100965	4	< 0.1%
2000101470	1	< 0.1%

Value	Count	Frequency (%)
2018110145	2	< 0.1%
2018110139	2	< 0.1%
2018110138	2	< 0.1%
2018110136	1	< 0.1%
2018110135	2	< 0.1%

UmaKigoCD
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.5410080569
Minimum	0
Maximum	26
Zeros	306643
Zeros (%)	90.6%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	5
Maximum	26
Range	26
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.834139141
Coefficient of variation (CV)	3.390225188
Kurtosis	37.08666405
Mean	0.5410080569
Median Absolute Deviation (MAD)	0
Skewness	4.809565025
Sum	183181
Variance	3.36406639
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	306643	90.6%
5	21025	6.2%
6	9760	2.9%
21	544	0.2%
11	536	0.2%
26	82	< 0.1%
22	2	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	306643	90.6%
5	21025	6.2%
6	9760	2.9%
11	536	0.2%
21	544	0.2%

Value	Count	Frequency (%)
26	82	< 0.1%
22	2	< 0.1%
21	544	0.2%
11	536	0.2%
6	9760	2.9%

SexCD
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

1	190044
2	135746
3	12802

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	338592
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	3

Value	Count	Frequency (%)
1	190044	56.1%
2	135746	40.1%
3	12802	3.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	190044	56.1%
2	135746	40.1%
3	12802	3.8%

Most occurring characters

Value	Count	Frequency (%)
1	190044	56.1%
2	135746	40.1%
3	12802	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338592	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	190044	56.1%
2	135746	40.1%
3	12802	3.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	338592	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	190044	56.1%
2	135746	40.1%
3	12802	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338592	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	190044	56.1%
2	135746	40.1%
3	12802	3.8%

HinsyuCD
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

1	338476
2	116

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	338592
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
1	338476	> 99.9%
2	116	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	338476	> 99.9%
2	116	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
1	338476	> 99.9%
2	116	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338592	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	338476	> 99.9%
2	116	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	338592	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	338476	> 99.9%
2	116	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338592	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	338476	> 99.9%
2	116	< 0.1%

KeiroCD
Real number (ℝ_≥0)

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.134846659
Minimum	1
Maximum	11
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	3
Q3	4
95-th percentile	7
Maximum	11
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.568562341
Coefficient of variation (CV)	0.5003633387
Kurtosis	0.4628191168
Mean	3.134846659
Median Absolute Deviation (MAD)	1
Skewness	0.5386208545
Sum	1061434
Variance	2.460387817
Monotocity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
3	143648	42.4%
1	79622	23.5%
4	66048	19.5%
5	24108	7.1%
7	19027	5.6%
6	4850	1.4%
2	1148	0.3%
11	141	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	79622	23.5%
2	1148	0.3%
3	143648	42.4%
4	66048	19.5%
5	24108	7.1%

Value	Count	Frequency (%)
11	141	< 0.1%
7	19027	5.6%
6	4850	1.4%
5	24108	7.1%
4	66048	19.5%

Barei
Real number (ℝ_≥0)

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.681864899
Minimum	2
Maximum	13
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	2
5-th percentile	2
Q1	3
median	3
Q3	4
95-th percentile	6
Maximum	13
Range	11
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.401573669
Coefficient of variation (CV)	0.3806694997
Kurtosis	0.9937131313
Mean	3.681864899
Median Absolute Deviation (MAD)	1
Skewness	1.061768409
Sum	1246650
Variance	1.96440875
Monotocity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
3	135641	40.1%
4	60264	17.8%
2	58656	17.3%
5	44862	13.2%
6	23815	7.0%
7	10280	3.0%
8	3807	1.1%
9	996	0.3%
10	214	0.1%
11	47	< 0.1%
Other values (2)	10	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	58656	17.3%
3	135641	40.1%
4	60264	17.8%
5	44862	13.2%
6	23815	7.0%

Value	Count	Frequency (%)
13	2	< 0.1%
12	8	< 0.1%
11	47	< 0.1%
10	214	0.1%
9	996	0.3%

TozaiCD
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

2	188030
1	149934
3	546
4	82

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	338592
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	2
4th row	2
5th row	2

Value	Count	Frequency (%)
2	188030	55.5%
1	149934	44.3%
3	546	0.2%
4	82	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
2	188030	55.5%
1	149934	44.3%
3	546	0.2%
4	82	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
2	188030	55.5%
1	149934	44.3%
3	546	0.2%
4	82	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338592	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	188030	55.5%
1	149934	44.3%
3	546	0.2%
4	82	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	338592	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	188030	55.5%
1	149934	44.3%
3	546	0.2%
4	82	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338592	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	188030	55.5%
1	149934	44.3%
3	546	0.2%
4	82	< 0.1%

ChokyosiCode
Real number (ℝ_≥0)

Distinct	502
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	911.6591975
Minimum	106
Maximum	5750
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	106
5-th percentile	359
Q1	438
median	1055
Q3	1101
95-th percentile	1148
Maximum	5750
Range	5644
Interquartile range (IQR)	663

Descriptive statistics

Standard deviation	360.6743557
Coefficient of variation (CV)	0.3956241068
Kurtosis	44.23116969
Mean	911.6591975
Median Absolute Deviation (MAD)	50
Skewness	2.883744135
Sum	308680511
Variance	130085.9909
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1075	2928	0.9%
1099	2891	0.9%
1028	2879	0.9%
1039	2588	0.8%
1110	2577	0.8%
1002	2576	0.8%
411	2531	0.7%
1046	2476	0.7%
1022	2405	0.7%
438	2401	0.7%
Other values (492)	312340	92.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
106	157	< 0.1%
110	68	< 0.1%
119	198	0.1%
131	458	0.1%
138	515	0.2%

Value	Count	Frequency (%)
5750	1	< 0.1%
5749	1	< 0.1%
5748	1	< 0.1%
5747	1	< 0.1%
5746	1	< 0.1%

BanusiCode
Real number (ℝ_≥0)

Distinct	2663
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	492980.3969
Minimum	31
Maximum	999031
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	31
5-th percentile	32800
Q1	261007
median	495005
Q3	754030
95-th percentile	948006
Maximum	999031
Range	999000
Interquartile range (IQR)	493023

Descriptive statistics

Standard deviation	286532.2733
Coefficient of variation (CV)	0.5812244768
Kurtosis	-1.114891849
Mean	492980.3969
Median Absolute Deviation (MAD)	242795
Skewness	-0.005857131869
Sum	1.669192186 × 10¹¹
Variance	8.210074361 × 10¹⁰
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
523005	7099	2.1%
226800	6994	2.1%
415800	6975	2.1%
486800	6380	1.9%
546800	6313	1.9%
506800	4753	1.4%
3060	3802	1.1%
674004	3727	1.1%
716800	3607	1.1%
547800	3053	0.9%
Other values (2653)	285889	84.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
31	8	< 0.1%
803	2	< 0.1%
1031	36	< 0.1%
1060	130	< 0.1%
1700	4	< 0.1%

Value	Count	Frequency (%)
999031	1	< 0.1%
998033	10	< 0.1%
998030	1	< 0.1%
998009	29	< 0.1%
998007	105	< 0.1%

Fukusyoku
Categorical

HIGH CARDINALITY

Distinct	2420
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

青，桃襷，桃袖	7099
黒，赤十字襷，袖黄縦縞	6994
黄，黒縦縞，袖青一本輪	6975
緑，白二本輪，白袖赤一本輪	6380
赤，緑袖赤一本輪	6313
Other values (2415)	304831

Length

Max length	28
Median length	10
Mean length	9.911332814
Min length	1

Characters and Unicode

Total characters	3355898
Distinct characters	117
Distinct categories	4 ?
Distinct scripts	5 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	131 ?
Unique (%)	< 0.1%

Sample

1st row	鼠，海老襷，海老袖鼠一本輪
2nd row	鼠，海老襷，海老袖鼠一本輪
3rd row	鼠，海老襷，海老袖鼠一本輪
4th row	赤，緑元禄，赤袖
5th row	白，水色玉霰，紫袖

Value	Count	Frequency (%)
青，桃襷，桃袖	7099	2.1%
黒，赤十字襷，袖黄縦縞	6994	2.1%
黄，黒縦縞，袖青一本輪	6975	2.1%
緑，白二本輪，白袖赤一本輪	6380	1.9%
赤，緑袖赤一本輪	6313	1.9%
水色，赤玉霰，袖赤一本輪	4753	1.4%
緑，赤星散，赤袖	3727	1.1%
赤，緑格子，赤袖	3607	1.1%
緑，赤襷，赤袖白一本輪	3053	0.9%
桃，緑一本輪，袖黄縦縞	3017	0.9%
Other values (2410)	286674	84.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
青，桃襷，桃袖	7099	2.1%
黒，赤十字襷，袖黄縦縞	6994	2.1%
黄，黒縦縞，袖青一本輪	6975	2.1%
緑，白二本輪，白袖赤一本輪	6380	1.9%
赤，緑袖赤一本輪	6313	1.9%
水色，赤玉霰，袖赤一本輪	4753	1.4%
緑，赤星散，赤袖	3727	1.1%
赤，緑格子，赤袖	3607	1.1%
緑，赤襷，赤袖白一本輪	3053	0.9%
桃，緑一本輪，袖黄縦縞	3017	0.9%
Other values (2410)	286674	84.7%

Most occurring characters

Value	Count	Frequency (%)
，	608672	18.1%
袖	306604	9.1%
本	213903	6.4%
輪	213899	6.4%
赤	204107	6.1%
白	172120	5.1%
一	152668	4.5%
黄	138351	4.1%
青	112619	3.4%
緑	106614	3.2%
Other values (107)	1126341	33.6%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	2747064	81.9%
Other Punctuation	608809	18.1%
Uppercase Letter	13	< 0.1%
Modifier Letter	12	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
袖	306604	11.2%
本	213903	7.8%
輪	213899	7.8%
赤	204107	7.4%
白	172120	6.3%
一	152668	5.6%
黄	138351	5.0%
青	112619	4.1%
緑	106614	3.9%
黒	92650	3.4%
Other values (101)	1033529	37.6%

Value	Count	Frequency (%)
Ｖ	9	69.2%
Ｍ	3	23.1%
Ｋ	1	7.7%

Value	Count	Frequency (%)
，	608672	> 99.9%
・	137	< 0.1%

Value	Count	Frequency (%)
ー	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Han	2675090	79.7%
Common	608821	18.1%
Katakana	68527	2.0%
Hiragana	3447	0.1%
Latin	13	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
袖	306604	11.5%
本	213903	8.0%
輪	213899	8.0%
赤	204107	7.6%
白	172120	6.4%
一	152668	5.7%
黄	138351	5.2%
青	112619	4.2%
緑	106614	4.0%
黒	92650	3.5%
Other values (66)	961555	35.9%

Value	Count	Frequency (%)
イ	11343	16.6%
ン	11343	16.6%
ヤ	11341	16.5%
ダ	11340	16.5%
モ	11339	16.5%
ド	11339	16.5%
ツ	389	0.6%
ス	10	< 0.1%
シ	10	< 0.1%
ム	9	< 0.1%
Other values (22)	64	0.1%

Value	Count	Frequency (%)
，	608672	> 99.9%
・	137	< 0.1%
ー	12	< 0.1%

Value	Count	Frequency (%)
う	1149	33.3%
ろ	1149	33.3%
こ	1149	33.3%

Value	Count	Frequency (%)
Ｖ	9	69.2%
Ｍ	3	23.1%
Ｋ	1	7.7%

Most occurring blocks

Value	Count	Frequency (%)
CJK	2675090	79.7%
None	608685	18.1%
Katakana	68676	2.0%
Hiragana	3447	0.1%

Most frequent character per block

Value	Count	Frequency (%)
袖	306604	11.5%
本	213903	8.0%
輪	213899	8.0%
赤	204107	7.6%
白	172120	6.4%
一	152668	5.7%
黄	138351	5.2%
青	112619	4.2%
緑	106614	4.0%
黒	92650	3.5%
Other values (66)	961555	35.9%

Value	Count	Frequency (%)
，	608672	> 99.9%
Ｖ	9	< 0.1%
Ｍ	3	< 0.1%
Ｋ	1	< 0.1%

Value	Count	Frequency (%)
イ	11343	16.5%
ン	11343	16.5%
ヤ	11341	16.5%
ダ	11340	16.5%
モ	11339	16.5%
ド	11339	16.5%
ツ	389	0.6%
・	137	0.2%
ー	12	< 0.1%
ス	10	< 0.1%
Other values (24)	83	0.1%

Value	Count	Frequency (%)
う	1149	33.3%
ろ	1149	33.3%
こ	1149	33.3%

Futan
Real number (ℝ_≥0)

Distinct	27
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	550.602687
Minimum	470
Maximum	650
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	470
5-th percentile	520
Q1	540
median	550
Q3	560
95-th percentile	570
Maximum	650
Range	180
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	17.67836287
Coefficient of variation (CV)	0.03210729495
Kurtosis	0.9997653313
Mean	550.602687
Median Absolute Deviation (MAD)	10
Skewness	0.1277832991
Sum	186429665
Variance	312.5245139
Monotocity	Not monotonic

Histogram with fixed size bins (bins=27)

Value	Count	Frequency (%)
540	94120	27.8%
560	65643	19.4%
550	64787	19.1%
570	57590	17.0%
530	18451	5.4%
520	13381	4.0%
510	10128	3.0%
600	7519	2.2%
580	3082	0.9%
590	1438	0.4%
Other values (17)	2453	0.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
470	1	< 0.1%
480	28	< 0.1%
485	1	< 0.1%
490	401	0.1%
500	891	0.3%

Value	Count	Frequency (%)
650	1	< 0.1%
640	2	< 0.1%
635	22	< 0.1%
630	210	0.1%
620	177	0.1%

FutanBefore
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.4294549192
Minimum	0
Maximum	580
Zeros	338321
Zeros (%)	99.9%
Memory size	2.6 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	580
Range	580
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	15.18197623
Coefficient of variation (CV)	35.35173437
Kurtosis	1249.719666
Mean	0.4294549192
Median Absolute Deviation (MAD)	0
Skewness	35.36091292
Sum	145410
Variance	230.4924022
Monotocity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	338321	99.9%
540	64	< 0.1%
530	49	< 0.1%
520	42	< 0.1%
550	41	< 0.1%
510	29	< 0.1%
560	28	< 0.1%
570	14	< 0.1%
490	2	< 0.1%
480	1	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	338321	99.9%
480	1	< 0.1%
490	2	< 0.1%
510	29	< 0.1%
520	42	< 0.1%

Value	Count	Frequency (%)
580	1	< 0.1%
570	14	< 0.1%
560	28	< 0.1%
550	41	< 0.1%
540	64	< 0.1%

Blinker
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.6 MiB

0	313451
1	25141

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	338592
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	313451	92.6%
1	25141	7.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	313451	92.6%
1	25141	7.4%

Most occurring characters

Value	Count	Frequency (%)
0	313451	92.6%
1	25141	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338592	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	313451	92.6%
1	25141	7.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	338592	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	313451	92.6%
1	25141	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	338592	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	313451	92.6%
1	25141	7.4%

KisyuCode
Real number (ℝ_≥0)

Distinct	424
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1414.394085
Minimum	405
Maximum	5598
Zeros	0
Zeros (%)	0.0%
Memory size	2.6 MiB

Quantile statistics

Minimum	405
5-th percentile	660
Q1	1018
median	1095
Q3	1141
95-th percentile	5328
Maximum	5598
Range	5193
Interquartile range (IQR)	123

Descriptive statistics

Standard deviation	1268.504458
Coefficient of variation (CV)	0.8968536218
Kurtosis	5.515425387
Mean	1414.394085
Median Absolute Deviation (MAD)	62
Skewness	2.696622159
Sum	478902522
Variance	1609103.559
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
732	7973	2.4%
1018	7608	2.2%
1126	6632	2.0%
1014	5684	1.7%
1115	5567	1.6%
1075	5398	1.6%
5203	5355	1.6%
422	5282	1.6%
1088	5154	1.5%
1102	5148	1.5%
Other values (414)	278791	82.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
405	9	< 0.1%
409	42	< 0.1%
410	6	< 0.1%
422	5282	1.6%
423	3	< 0.1%

Value	Count	Frequency (%)
5598	1	< 0.1%
5597	3	< 0.1%
5596	145	< 0.1%
5589	2	< 0.1%
5588	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	JyoCD	Kaiji	Nichiji	RaceNum	Wakuban	Umaban	KettoNum	SexCD	HinsyuCD	KeiroCD	Barei	TozaiCD	ChokyosiCode	BanusiCode	Fukusyoku	Futan	KisyuCode
0	1	1	7	9	1	1	2006104151	1	1	5	4	2	1021	730800	鼠，海老襷，海老袖鼠一本輪	570	1032
1	1	2	3	11	8	13	2006104151	1	1	5	4	2	1021	730800	鼠，海老襷，海老袖鼠一本輪	570	1126
2	2	2	2	11	7	7	2006104151	1	1	5	4	2	1021	730800	鼠，海老襷，海老袖鼠一本輪	570	1032
3	7	2	6	11	6	12	2006104151	1	1	5	4	2	1021	730800	赤，緑元禄，赤袖	550	1030
4	1	1	7	9	3	5	2006105020	3	1	1	4	2	1044	572800	白，水色玉霰，紫袖	560	705
5	2	1	2	8	8	16	2006105020	3	1	1	4	2	1044	572800	白，水色玉霰，紫袖	570	1074
6	2	1	3	8	4	6	2006105020	3	1	1	4	2	1044	572800	白，水色玉霰，紫袖	570	1074
7	3	1	1	6	8	16	2006105020	3	1	1	4	2	1044	572800	白，水色玉霰，紫袖	570	1074
8	3	1	6	11	1	1	2006105020	3	1	1	4	2	1044	572800	白，水色玉霰，紫袖	560	1074
9	7	2	4	7	4	8	2006105020	3	1	1	4	2	1044	572800	白，水色玉霰，紫袖	570	1074

Last rows

	JyoCD	Kaiji	Nichiji	RaceNum	Wakuban	Umaban	KettoNum	UmaKigoCD	SexCD	HinsyuCD	KeiroCD	Barei	TozaiCD	ChokyosiCode	BanusiCode	Fukusyoku	Futan	KisyuCode
338582	10	2	5	9	4	8	2018109122	21	2	1	5	2	3	5257	930031	薄紫，青四ツ割，袖青一本輪	550	5456
338583	10	2	5	9	4	7	2018109169	21	2	1	1	2	3	5661	908031	白，青四ツ割，袖青一本輪	550	5478
338584	10	2	6	2	8	17	2017106253	0	2	1	3	3	2	1049	789006	桃，青襷，青袖	540	1157
338585	10	2	6	6	6	11	2017104830	0	2	1	3	3	2	1062	318803	緑，黄十字襷，黒袖	510	1182
338586	10	2	6	7	1	1	2017102923	0	1	1	4	3	2	1087	346803	桃，赤十字襷，白袖赤縦縞	540	1018
338587	10	2	6	8	5	5	2017101519	21	2	1	1	3	3	5106	933031	白，黄四ツ割，袖黄一本輪	520	5587
338588	10	2	6	11	6	8	2015110047	6	1	1	5	5	2	1107	764001	黄，水色襷	570	1154
338589	10	2	8	2	6	12	2018102116	0	1	1	5	2	2	1039	788800	水色，赤十字襷，赤袖	540	1034
338590	10	2	8	4	7	11	2017105497	0	3	1	3	3	2	1159	634033	白，緑星散	560	1018
338591	10	2	8	5	8	16	2018106621	0	1	1	3	2	2	1136	523005	青，桃襷，桃袖	540	1037

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows